title: Multi-scale Tone Entropy in differentiating physiologic and synthetic RR time series.
abstract: Heart rhythm is extrinsically modulated by the autonomic nervous system and recently, the Tone-Entropy (TE) measurement was reported as a measure of autonomic balance and activity in time domain HRV analysis. Current algorithm for T-E measurement describes only beat-to-beat or influence of a heart beat on a train of succeeding beats on a single scale. Therefore, conventional T-E analysis has often not been able to discern various physiological conditions using heart rate variability (HRV) signal. In this study, we will present a mathematical framework to define multi-scale T-E analysis, apply this in differentiating physiological and synthetic RR time series. Finally, we compare the performance of proposed parameters with conventional T-E measurements.
authors.forename: Chandan K
authors.initials: CK
authors.lastname: Karmakar
authors.forename: Ahsan H
authors.initials: AH
authors.lastname: Khandoker
authors.forename: Marimuthu
authors.initials: M
authors.lastname: Palaniswami
mesh_terms: D000465:Algorithms; D001341:Autonomic Nervous System / Q000502:physiology*; D002319:Cardiovascular System; D016002:Discriminant Analysis; D004562:Electrocardiography; D019277:Entropy; D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity